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 Home » MailScan
  MailScan 6.x

Non Intrusive Learning Patterns (NILP)

NILP is an intelligent self-learning technology in spam control. It carries with itself a continuously updating database containing DNA imprints of millions of SPAM mails detected world-wide. Once the DNA imprints are checked, NILP reverses its learning by classifying GOOD (Ham) mails, rather than using the traditional way of classifying BAD (Spam) mails.

How NILP works at an organizational level
Have a look at the following characteristics of any organization's mail traffic:

  1. Mail/proxy Gateway
  2. Mail Databases
  3. Mail Users
  4. Contents
  5. Policies
  6. Network Structure
The above entities will continue to remain as the fundamental elements of a company's communication for a long time. Users may be added or deleted, public IPs may be added or deleted, but overall these basic elements remain the same. To give an example, an engineering organization will MOST certainly not subscribe or ask for information about medical drugs. A software organization will rather have no interest in receiving mails from religious institutions.

Using the logic above, NILP tunes itself to understand the exact nature of the mail traffic of an organization, and then classifies all mails accordingly. It is extremely fast, scaleable and can regularly unlearn things to keep itself very efficient and adaptable in a real-time environment.

NILP at the mailbox level
At the user level, NILP employs advanced concepts of Artificial Intelligence to observe the behavioral patterns of the user, and starts thinking from the user point of view. This way, it very accurately understands what's good mail for the user. The mechanism learns on its own, while it incorporates continuous feeds from MicroWorld Server as well. This makes NILP the most effective technology in Spam and Phishing filtering.


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